Clinical Applications of Artificial Intelligence in Critical Illness

Concurrent Session Moderator(s)

• 

  Gilles Clermont, MD, MS

  Professor CCM, Mathematics, Clinical Translational Sci and IE
  University of Pittsburgh
  Pittsburgh, Pennsylvania

  No relevant financial relationship(s) to disclose

This session will explore the potential for artificial intelligence (AI) to augment critical care. Speakers will introduce relevant concepts using terms and examples that are familiar to critical care professionals, describe state-of-the-art applications of AI in critical illness, identify barriers to real-time clinical implementation of these applications, and propose desiderata for ideal algorithms.

Presentations:

• AI for Augmenting Nurse Recognition of Patient Decline
  

  Concurrent Session Faculty: Cheryl Hiddleson, RN, FCCM – Emory EICU Center
• Using AI to Guide Critical Care Decision-Making by Predicting Morbidity and Mortality
  

  Concurrent Session Faculty: Parisa Rashidi, PhD – University of Florida
• Barriers to Real-Time, Multidisciplinary Clinical Implementation of AI Applications
  

  Concurrent Session Faculty: Tyler Loftus, MD – UF Health Shands Childrens Hospital